3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies A Khvostikov, K Aderghal, J Benois-Pineau, A Krylov, G Catheline arXiv preprint arXiv:1801.05968, 2018 | 164 | 2018 |
Classification of Alzheimer disease on imaging modalities with deep CNNs using cross-modal transfer learning K Aderghal, A Khvostikov, A Krylov, J Benois-Pineau, K Afdel, G Catheline 2018 IEEE 31st international symposium on computer-based medical systems …, 2018 | 157 | 2018 |
ANHIR: automatic non-rigid histological image registration challenge J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ... IEEE transactions on medical imaging 39 (10), 3042-3052, 2020 | 128 | 2020 |
3D inception-based CNN with sMRI and MD-DTI data fusion for Alzheimer's disease diagnostics A Khvostikov, K Aderghal, A Krylov, G Catheline, J Benois-Pineau arXiv preprint arXiv:1809.03972, 2018 | 44 | 2018 |
Automatic out-of-distribution detection methods for improving the deep learning classification of pulmonary X-ray images AA Dovganich, AV Khvostikov, YA Pchelintsev, AA Krylov, Y Ding, ... Journal of Image and Graphics 10 (2), 56-63, 2022 | 17 | 2022 |
Automatic mucous glands segmentation in histological images A Khvostikov, A Krylov, I Mikhailov, O Kharlova, N Oleynikova, P Malkov The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 14 | 2019 |
Ultrasound image texture analysis for liver fibrosis stage diagnostics AV Kvostikov, AS Krylov, UR Kamalov Programming and Computer Software 41, 273-278, 2015 | 12 | 2015 |
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. 2018 A Khvostikov, K Aderghal, J Benois-Pineau, A Krylov, G Catheline Computer Vision and Pattern Recognition, 1801 | 12 | 1801 |
Tissue type recognition in whole slide histological images A Khvostikov, A Krylov, I Mikhailov, P Malkov, N Danilova CEUR Workshop Proc. 3027 50, 8, 2021 | 11 | 2021 |
Ultrasound despeckling by anisotropic diffusion and total variation methods for liver fibrosis diagnostics A Khvostikov, A Krylov, J Kamalov, A Megroyan Signal Processing: Image Communication 59, 3-11, 2017 | 10 | 2017 |
CNN assisted hybrid algorithm for medical images segmentation A Khvostikov, AS Krylov, I Mikhailov, P Malkov Proceedings of the 5th International Conference on Biomedical Signal and …, 2020 | 9 | 2020 |
Hybrid method for biomedical image denoising A Krylov, V Karnaukhov, N Mamaev, A Khvostikov Proceedings of the 2019 4th International Conference on Biomedical Imaging …, 2019 | 9 | 2019 |
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. arXiv A Khvostikov, K Aderghal, J Benois-Pineau, A Krylov, G Catheline arXiv preprint arXiv:1801.05968, 2018 | 9 | 2018 |
3D CNN-based classification using sMRI and MD-DTI images for Alzheimer disease studies. arXiv 2018 A Khvostikov, K Aderghal, J Benois-Pineau, A Krylov, G Catheline arXiv preprint arXiv:1801.05968, 0 | 9 | |
Automatic glands segmentation in histological images obtained by endoscopic biopsy from various parts of the colon N Oleynikova, A Khvostikov, A Krylov, I Mikhailov, O Kharlova, N Danilova, ... Endoscopy 51 (04), OP9, 2019 | 8 | 2019 |
Trainable active contour model for histological image segmentation AV Khvostikov, AS Krylov, IA Mikhailov, PG Malkov Scientific Visualization 11 (3), 2019 | 8 | 2019 |
Data balancing method for training segmentation neural networks A Kochkarev, A Khvostikov, A Krylov, D Korshunov, M Boguslavskiy CEUR Workshop Proceedings, 2020 | 7 | 2020 |
Attention-based convolutional neural network for MRI Gibbs-ringing artifact suppression M Penkin, A Krylov, A Khvostikov CEUR Workshop Proceedings, 2020 | 6 | 2020 |
2018 IEEE 31st international symposium on computer-based medical systems (CBMS) K Aderghal, A Khvostikov, A Krylov, J Benois-Pineau, K Afdel, G Catheline | 6 | 2018 |
Automatic quality control in lung X-ray imaging with deep learning AA Dovganich, AV Khvostikov, AS Krylov, LE Parolina Computational Mathematics and Modeling 32, 276-285, 2021 | 5 | 2021 |